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» Ensembles of Fuzzy Classifiers
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IJSI
2008
156views more  IJSI 2008»
13 years 8 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
MM
2006
ACM
132views Multimedia» more  MM 2006»
14 years 2 months ago
Music emotion classification: a fuzzy approach
Due to the subjective nature of human perception, classification of the emotion of music is a challenging problem. Simply assigning an emotion class to a song segment in a determi...
Yi-Hsuan Yang, Chia Chu Liu, Homer H. Chen
SSPR
2004
Springer
14 years 2 months ago
Recognition of Handwritten Numerals Using a Combined Classifier with Hybrid Features
Off-line handwritten numeral recognition is a very difficult task. It is hard to achieve high recognition results using a single set of features and a single classifier, since hand...
Kyoung Min Kim, Joong Jo Park, Young Gi Song, In-C...
CEC
2010
IEEE
13 years 9 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
JASIS
2006
96views more  JASIS 2006»
13 years 8 months ago
Learning to classify documents according to genre
Genre or style analysis can be used to improve results achieved using standard IR techniques. A genre class is a group of documents that are written in a similar style. Genre clas...
Aidan Finn, Nicholas Kushmerick